/usr/include/trilinos/ROL_Parabolic.hpp is in libtrilinos-rol-dev 12.12.1-5.
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// ************************************************************************
//
// Rapid Optimization Library (ROL) Package
// Copyright (2014) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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#ifndef ROL_PARABOLIC_HPP
#define ROL_PARABOLIC_HPP
#include "ROL_Distribution.hpp"
#include "Teuchos_ParameterList.hpp"
namespace ROL {
template<class Real>
class Parabolic : public Distribution<Real> {
private:
Real a_;
Real b_;
public:
Parabolic(const Real a = 0., const Real b = 1.)
: a_(std::min(a,b)), b_(std::max(a,b)) {}
Parabolic(Teuchos::ParameterList &parlist) {
a_ = parlist.sublist("SOL").sublist("Distribution").sublist("Parabolic").get("Lower Bound",0.);
b_ = parlist.sublist("SOL").sublist("Distribution").sublist("Parabolic").get("Upper Bound",1.);
Real tmp = a_;
a_ = std::min(a_,b_);
b_ = std::max(b_,tmp);
}
Real evaluatePDF(const Real input) const {
Real scale = 6.0/std::pow(b_-a_,3.0);
return ((input >= a_ && input <= b_) ? scale*(input-a_)*(b_-input) : 0.);
}
Real evaluateCDF(const Real input) const {
Real d1 = b_-a_, d2 = d1*d1, d3 = d2*d1;
Real v1 = input-a_, v2 = v1*v1, v3 = v1*v2;
return ((input < a_) ? 0. : ((input > b_) ? 1. :
3.0*v2/d2 - 2.0*v3/d3));
}
Real integrateCDF(const Real input) const {
Real d0 = b_+a_, d1 = b_-a_, d2 = d1*d1, d3 = d2*d1;
Real v1 = input-a_, v2 = v1*v1, v3 = v1*v2, v4 = v1*v3;
return ((input < a_) ? 0. :
((input > b_) ? input - 0.5*d0 :
v3/d2 - 0.5*v4/d3));
}
Real invertCDF(const Real input) const {
Real a = a_-b_, b = a_+b_, c = 0.;
Real fa = evaluateCDF(a) - input;
Real fc = 0.;
Real sa = ((fa < 0.) ? -1. : ((fa > 0.) ? 1. : 0.));
Real sc = 0.;
for (size_t i = 0; i < 100; i++) {
c = (a+b)*0.5;
fc = evaluateCDF(c) - input;
sc = ((fc < 0.) ? -1. : ((fc > 0.) ? 1. : 0.));
if ( fc == 0. || (b-a)*0.5 < ROL_EPSILON<Real>() ) {
break;
}
if ( sc == sa ) { a = c; fa = fc; sa = sc; }
else { b = c; }
}
return c;
}
Real moment(const size_t m) const {
Real p = (Real)m;
Real a1 = std::pow(a_,p+1), b1 = std::pow(b_,p+1);
Real a2 = a1*a_, b2 = b1*b_;
Real a3 = a2*a_, b3 = b2*b_;
return 6./std::pow(b_-a_,3)
* (-(b3-a3)/(p+3) + (a_+b_)*(b2-a2)/(p+2) - a_*b_*(b1-a1)/(p+1));
}
Real lowerBound(void) const {
return a_;
}
Real upperBound(void) const {
return b_;
}
void test(std::ostream &outStream = std::cout ) const {
size_t size = 5;
std::vector<Real> X(size,0.);
std::vector<int> T(size,0);
X[0] = a_-4.0*(Real)rand()/(Real)RAND_MAX;
T[0] = 0;
X[1] = a_;
T[1] = 1;
X[2] = (b_-a_)*(Real)rand()/(Real)RAND_MAX + a_;
T[2] = 0;
X[3] = b_;
T[3] = 1;
X[4] = b_+4.0*(Real)rand()/(Real)RAND_MAX;
T[4] = 0;
Distribution<Real>::test(X,T,outStream);
}
};
}
#endif
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